UMD, UMBC, ARL Ink Agreement to Boost AI, Autonomy in Complex Environments
The five-year agreement will accelerate the development and deployment of safe, effective, and resilient capabilities and technologies, from wearable devices to unmanned aircraft.
Latest in Artificial Intelligence AI
Artificial Intelligence AI Resources
June 11, 2021
An interdisciplinary research team led by the University of Maryland, College Park (UMD) and in partnership with the University of Maryland, Baltimore County (UMBC) has entered into a cooperative agreement with the U.S. Army Research Laboratory(ARL) worth up to $68 million.
The agreement involves a collaboration of researchers to boost transformation in artificial intelligence (AI) and autonomy. The 5-year agreement will enhance development and deployment of safe, effective and resilient capabilities and technologies, from wearable devices to unmanned aircraft, that work intelligently and in cooperation with each other and with human actors across multiple environments.
The effort encompasses three areas of research thrusts, each supported by a team of faculty, staff and students. The new collaboration builds on a more than 25-year research partnership between UMD and ARL in AI, autonomy, and modeling and simulation to spur the development of technologies that reduce human workload and risk in complex environments such as the battlefield and search-and-rescue operations.
“This extensive collaboration convenes a critical mass of expertise within the state, at the University of Maryland, and across the entire University System of Maryland,” says Laurie Locascio, vice president for research at UMD. “It’s a very exciting alliance that leverages the university’s decades-long research partnerships with ARL to forge a critical pipeline for research innovation and commercialization in the booming ecosystem of robotics, AI and autonomy.”
“This is a big partnership with an ambitious vision: We want to change the world by quickly getting AI and autonomy into the hands of the people who need it,” says Derek Paley, lead researcher on the agreement, UMD engineering professor, and director of the Maryland Robotics Center. “No matter how autonomous we think a system is, a human operator will I nterface with it at some level. The goal is to migrate the dangerous, dirty, and dull work to the autonomous platform.”
The cooperative agreement will enable substantial collaborations between UMD, UMBC and ARL researchers and leverage unique university and federal assets and facilities to accelerate advancements in AI and autonomy for mobile and connected platforms in multiple operating domains. For example, it will grant the UMD and UMBC teams access to ARL’s Robotics Research Collaborative Campus (R2C2), which includes a one-of-a-kind, 200-acre, reconfigurable, multiple-terrain outdoor testing laboratory just north of Baltimore for scalable AI, autonomy and robotics research.
“In an era of rapidly increasing strategic threats driven in large part by global access to science and technology, talent, and resources, the nation that can best operationalize science and do it quickly will have game-changing competitive advantages over their adversaries,” says Karl Kappra, director of the U.S. Army Combat Capabilities Development Command (DEVCOM) ARL’s Futures Division.
“ARL is pleased to be initiating this new enterprise with the University of Maryland, College Park and University of Maryland, Baltimore County to engage their talented staff and students to provide the foundations for new artificial intelligence and autonomy capabilities to improve the survivability and effectiveness of America’s armed forces. This collaboration will address the Army’s unique challenges and, with access to the entire University System of Maryland, it will provide opportunities for new technology insertions while supporting the continued development of our nation’s STEM community.”
To make advances in AI and autonomy technologies able to overcome these challenges, the research team will harness the interdisciplinary expertise and resources of UMD, UMBC and ARL to develop shared, standard infrastructure for developing and testing collaborative autonomy—including a “virtual proving ground” that models and simulates existing facilities to enable a wide range of interactions between virtual and real-world actors. This resource for the research community will overcome the field’s lack of shared standard infrastructure, as well as poor interoperability between existing tools, models and software.
“Currently, research teams are building their own simulation testbeds to evaluate their own algorithms and systems, which increases cost and delays development of significant innovations,” says Jeffrey Herrmann, co-lead researcher on the agreement and UMD professor. “This collaboration will plan and develop a consistent modeling and simulation infrastructure that will include libraries of simulation models and tools for building and running them.”
As part of another major research thrust, the team will design novel approaches to ensuring closer human–machine teaming and interaction. As one example, the team says this work could bolster technologies such as self-driving vehicles or mobile robots, which combine computer vision and remote sensing, robotics planning and control, and other advanced specialties to navigate complex terrains and unstructured environments.
“These are very difficult topics that require extensive but diverse expertise. This research and collaboration could be the glue to bring together the amazing students and faculty across UMD’s campus doing exceptional work in AI and autonomy,” says Dinesh Manocha, co-lead researcher on the agreement and UMD professor. “A five-year partnership that maximizes the complementary specializations of UMD, UMBC, and ARL will give us a window to rethink some of these problems from the ground up and possibly develop next-generation technologies for AI, robotics, and autonomy.”
The research team also will draw on the expertise of domain scientists, data scientists and cyberinfrastructure experts harnessing available big data to drive novel discovery. They will develop solutions for AI-based networking, sensing and edge computing—which brings data storage and computation closer to a location—for the so-called “Internet of Battlefield Things,” which connects humans with smart technology on and off the battlefield. In particular, the team will work on strengthening the decision-making abilities of Army AI technology.
“To make a big impact in the research space, you need long-term, multi-institutional partnerships and collaborations. Working with the University of Maryland, College Park and the Army Research Lab will allow UMBC to collectively advance AI in the military space; we anticipate these technologies will also have civilian use and have a larger societal benefit,” says Aryya Gangopadhyay, co-lead researcher and professor at UMBC.
The principal investigators for this agreement are:
At UMD: Derek Paley, Willis H. Young Jr. Professor and Director of the Maryland Robotics Center (Department of Aerospace Engineering and Institute for Systems Research); Dinesh Manocha, Distinguished University Professor and Paul Chrisman Iribe Professor (Departments of Electrical & Computer Engineering and Computer Science and Institute for Advanced Computer Studies); and Jeffrey Herrmann, Professor (Department of Mechanical Engineering and Institute for Systems Research).
At UMBC: Aryya Gangopadhyay, Professor and Chair (Department of Information Systems); and Nirmalya Roy, Associate Professor (Department of Information Systems).
The cooperative agreement includes additional investigators from UMD and UMBC representing a myriad of units and expertise—including, but not limited to, UMD’s A. James Clark School of Engineering; College of Computer, Mathematical, and Natural Sciences; College of Information Studies; Maryland Technology Enterprise Institute (Mtech); and Applied Research Laboratory for Intelligence and Security (ARLIS).
Sources: Press materials received from the company and additional information gleaned from the company’s website.
About the Author
DE’s editors contribute news and new product announcements to Digital Engineering.
Press releases may be sent to them via [email protected].